At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing.

Why We Have This Role

We are looking for engineers to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.

As a Machine Learning Engineer at Qualtrics, you should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work! 

Things You’ll Do

• Develop scalable, fast, robust, and best-in-class solutions to solve complex business problems
• Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
• Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
• Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
• Finding quick ways to prototype and test possible solutions to large problems

How You’ll Grow

• Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
• Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.

What We’re Looking For On Your Resume

• Bachelor’s degree in Computer Science or related fields.
• Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
• 5+ years of programming experience with at least one modern programming language such as Java, C# or Python, including object-oriented design
• 5+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience with technical communications with both technical and non-technical peers
• Deep understanding of machine learning model life cycle management
• The ability to define system architecture and explore the feasibility of various designs
• Experience developing cloud-based software services and an understanding of design for scalability, performance and reliability

What You Should Know About This Team

The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.

Our Team’s Favorite Perks and Benefits

• $1800 Experience bonus to be used for an “Experience” of your choosing
• Unlimited Sick Days
• Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

​​​Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

Qualtrics Work Experience - As we look to the future, we believe that our teams are better together. Being together will help us learn more, grow faster and ultimately deliver better results for our customers and Qualtrics. Roles tied to an office location work 4 days per week in the office together and 1 day from home, with a strong spirit of flexibility around taking time for personal, health, and family moments in our work weeks. Our managers work with their teams to create a collaborative, engaged work environment, and arrangement that works for each of our team members.

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For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. For part-time or intern positions, this pay range is for base pay per hour. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.